{"id":"W2070556972","doi":"10.1145/2380776.2380784","title":"dbTrento","year":2012,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Zaragoza; University of Alberta","keywords":"Citation; Computer science; Library science; Database; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001314635,0.0001139089,0.0001139354,0.00008938865,0.00006987113,0.00004076471,0.002195623,0.00006665328,0.00003192193],"category_scores_gemma":[0.0004337749,0.0001000581,0.00003675201,0.0003239031,0.0000445381,0.00149254,0.001495388,0.0001354358,0.0004585843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004600213,"about_ca_system_score_gemma":0.00001201931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001481118,"about_ca_topic_score_gemma":0.000005737323,"domain_scores_codex":[0.9990487,0.0000193462,0.0001291305,0.0002453569,0.0001486051,0.000408875],"domain_scores_gemma":[0.9978678,0.0001201627,0.00006235661,0.001847459,0.00002236985,0.00007981791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001935246,0.00005243778,0.006682184,0.000004127714,0.000008165423,0.000005910725,0.0001602102,0.000002079725,0.001155334,0.0539113,0.01343185,0.9245844],"study_design_scores_gemma":[0.0004480944,0.0001734934,0.007207872,0.00002372069,0.00001035298,0.00006237875,0.000115945,0.001334622,0.02346158,0.1404725,0.8258895,0.000799939],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0325573,0.0006155676,0.9596804,0.001446857,0.001426168,0.0001111439,0.000003152023,0.001520484,0.00263893],"genre_scores_gemma":[0.5277145,0.00004140399,0.471451,0.0002039402,0.0001105183,0.00001940994,0.000002639333,0.000009039448,0.0004476021],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9237846,"threshold_uncertainty_score":0.5894327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247796109390363,"score_gpt":0.278870893944344,"score_spread":0.2463929328504404,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}